MLSP-9: Learning Theory for Neural Networks |
Session Type: Poster |
Time: Tuesday, 8 June, 16:30 - 17:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Yunxin Zhao, University of Missouri |
MLSP-9.1: A BAYESIAN INTERPRETATION OF THE LIGHT GATED RECURRENT UNIT |
Alexandre Bittar; Idiap Research Institute |
Philip Garner; Idiap Research Institute |
MLSP-9.2: A LARGE-DIMENSIONAL ANALYSIS OF SYMMETRIC SNE |
Charles Séjourné; GIPSA-Lab, University Grenoble Alpes |
Romain Couillet; GIPSA-Lab, University Grenoble Alpes |
Pierre Comon; GIPSA-Lab, University Grenoble Alpes |
MLSP-9.3: A DYNAMICAL SYSTEMS PERSPECTIVE ON ONLINE BAYESIAN NONPARAMETRIC ESTIMATORS WITH ADAPTIVE HYPERPARAMETERS |
Alec Koppel; US Army Research Laboratory |
Amrit Singh Bedi; US Army Research Laboratory |
Vikram Krishnamurthy; Cornell University |
MLSP-9.4: ONLINE MULTI-HOP INFORMATION BASED KERNEL LEARNING OVER GRAPHS |
Zixiao Zong; University of California, Irvine |
Yanning Shen; University of California, Irvine |
MLSP-9.5: SPARSITY IN MAX-PLUS ALGEBRA AND APPLICATIONS IN MULTIVARIATE CONVEX REGRESSION |
Nikos Tsilivis; National Technical University of Athens |
Anastasios Tsiamis; University of Pennsylvania |
Petros Maragos; National Technical University of Athens |
MLSP-9.6: COMPLEX-VALUED VS. REAL-VALUED NEURAL NETWORKS FOR CLASSIFICATION PERSPECTIVES: AN EXAMPLE ON NON-CIRCULAR DATA |
Jose Agustin Barrachina; ONERA/CentraleSupelec |
Chengfang Ren; ONERA/CentraleSupelec |
Christele Morisseau; ONERA |
Gilles Vieillard; ONERA |
Jean-Philippe Ovarlez; ONERA/CentraleSupelec |